Which cues influence the perceived usefulness and credibility of an online review? A conjoint analysis

Understanding Social Media Information Sharing in Individuals with Depression: Insights from the Elaboration Likelihood Model and Schema Activation Theory

Purpose

How individuals engage with social media can significantly impact their psychological well-being. This study examines the impact of social media interactions on mental health, grounded in the frameworks of the Elaboration Likelihood Model and Schema Activation Theory. It aims to uncover behavioral differences in information sharing between the general population and individuals with depression, while also elucidating the psychological mechanisms underlying these disparities.

Methods

A pre-experiment (N=30) and three experiments (Experiment 1a N=200, Experiment 1b N=180, Experiment 2 N=128) were executed online. These experiments investigated the joint effects of information quality, content valence, self-referential processing, and depression level on the intention to share information. The research design incorporated within-subject and between-subject methods, utilizing SPSS and SPSS Process to conduct independent sample t-tests, two-factor ANOVA analyses, mediation analyses, and moderated mediation analyses to test our hypotheses.

Results

Information quality and content valence significantly influence sharing intention. In scenarios involving low-quality information, individuals with depression are more inclined to share negative emotional content compared to the general population, and this tendency intensifies with the severity of depression. Moreover, self-referential processing acts as a mediator between emotional content and intention to share, yet this mediation effect weakens as the severity of depression rises.

Conclusion

Our study highlights the importance of promoting viewpoint diversity and breaking the echo chamber effect in social media to improve the mental health of individuals with depression. To achieve this goal, tailoring emotional content on social media could be a practical starting point for practice.

Making research and evaluation more useful and more interesting for information services and their users: A guide for students and practitioners

Reflections on the recent increase in the number of cross-sectional surveys received by the editorial team of the journal indicated that potential contributors might consider other research techniques, in addition to, or instead of a survey. In this article, Christine Urquhart discusses some different research designs, and different research methods that may help students and practitioners find useful answers to questions about professional practice beyond the standard survey. Researchers could consider research designs such as quasi-experimental techniques, controlled before-after studies, and interrupted time series. The basic principles of such methods are outlined and some examples cited. Other research techniques outlined include those that research subjects might find more interesting to do, such as conjoint analysis and vignettes.